OP Bancorp (OPBK) EBIT (2017 - 2026)
OP Bancorp (OPBK) posted EBIT of $29.17 million for Q2 2026, up 10.5% from $26.39 million a year earlier and up 4.5% from the prior quarter.
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Analysis
OP Bancorp (OPBK) EBIT (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at OP Bancorp was $112.88 million, up 9.9% year-over-year; for FY2025, it came in at $107.31 million, up 6.1% from FY2024.
- Annual EBIT has increased for five consecutive years, with a five-year compound annual growth rate of 32.2% (FY2020 to FY2025).
- In prior years, OP Bancorp's EBIT was $101.09 million in FY2024 (+16.9%), $86.47 million in FY2023 (+49.0%), $58.03 million in FY2022 (+32.5%) and $43.79 million in FY2021 (+65.1%).
- The Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q1 2017.
- On a year-over-year basis, EBIT has increased in each of the last 22 quarters, with growth averaging 10.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBIT ranged from 2.5% (Q2 2025) to 108.8% (Q4 2021).
- According to Business Quant data, EBIT for the three prior quarters was $27.92 million (Q1 2026), $27.94 million (Q4 2025) and $27.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | OP Bancorp | 226.74 Mn | -442.63 Mn | - | 29.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.17 Mn |
| Mar 31, 2026 | 27.92 Mn |
| Dec 31, 2025 | 27.94 Mn |
| Sep 30, 2025 | 27.85 Mn |
| Jun 30, 2025 | 26.39 Mn |
| Mar 31, 2025 | 25.13 Mn |
| Dec 31, 2024 | 24.79 Mn |
| Sep 30, 2024 | 26.37 Mn |
| Jun 30, 2024 | 25.74 Mn |
| Mar 31, 2024 | 24.20 Mn |
| Dec 31, 2023 | 22.85 Mn |
| Sep 30, 2023 | 20.89 Mn |
| Jun 30, 2023 | 21.41 Mn |
| Mar 31, 2023 | 21.32 Mn |
| Dec 31, 2022 | 17.81 Mn |
| Sep 30, 2022 | 15.06 Mn |
| Jun 30, 2022 | 13.01 Mn |
| Mar 31, 2022 | 12.16 Mn |
| Dec 31, 2021 | 13.62 Mn |
| Sep 30, 2021 | 12.26 Mn |
API Access
OP Bancorp EBIT API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebit&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "ticker": "OPBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebit&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();